Nature Materials

The development of novel mechanomedicine technologies critically depends on the ability to administer a well-defined mechanical dosage to cells. Unlike chemical cues, mechanical signals are vectorial rather than scalar, making their precise delivery inherently complex. When external mechanical stimuli are applied to cells seeded on a flat substrate, the mechanical dose experienced by each cell varies depending on its orientation and conformation, rendering consistent and effective mechano-modulation impractical. Here, we introduce a substrate-guided mechanical stimulation strategy that standardizes mechanical dose delivery at the population level by controlling cell orientation. Using nanogrooved PDMS substrates integrated into a uniaxial stretching platform, we induced coherent alignment of NIH3T3 fibroblasts and their mechanosensitive subcellular structures along the direction of applied strains. Cells cultured on flat or nanogrooved substrates were subjected to sustained uniaxial strains of 8% and 29%, and their responses were quantified in real time by live-cell fluorescence imaging. Nanogroove-induced alignment enabled uniform transmission of substrate strain to focal adhesions and the cytoskeleton, resulting in coherent and quantifiable nuclear deformation across the cell population. In contrast, cells on flat substrates exhibited orientation-dependent deformation modes that canceled out at the population level, leading to heterogeneous and attenuated responses. While cellular adaptation to sustained strain was primarily governed by strain magnitude, substrate-guided alignment markedly reduced cell-to-cell variability in mechanical signal perception. Overall, this work establishes cell alignment as a key parameter for standardizing mechanical dose delivery and improving the reproducibility of mechanobiology experiments and the design of mechanically active biomaterials.

Cell motility drives spatial pattern formation across diverse biological systems. Here, we engineer Escherichia coli motility in semi-solid agar to control Voronoi patterns in two and three dimensions, partitioning space into regions closest to their respective inoculation seeds. Consistent with our reaction-diffusion model, we observed that collisions between expansion fronts generate either biomass depletion (''gaps'') or accumulation (''anti-gaps''), governed by the relative diffusion rates of bacteria and nutrients. By engineering strains with distinct expansion rates and tuneable motility, and by integrating these experimental data into a dynamic Voronoi model, we achieved precise control over pattern geometry. This enabled the generation of gaps with varying widths, curved boundaries, asymmetric structures, seedless regions, and complex composite patterns. Together, these findings establish bacterial Voronoi patterns as a programmable platform for engineering multicellular spatial organization, with potential applications in synthetic biology and materials science.

During tumor growth and progression, cancer cells are exposed to sustained physical confinement and volumetric compression that can alter cell volume, cytoskeletal organization, mechanotransduction, and invasive behavior. However, whether breast cancer cells retain a compression-induced mechanical memory after release from sustained volumetric compression, and how this memory influences subsequent migration and invasion, remains poorly understood. Here, by controlling cell volume using PEG - mediated volumetric compression, we investigated the compression and post-compression recovery responses of MCF-7 breast cancer cells. Cells were compressed for four days, followed by four days of recovery after PEG removal, and analyzed using daily morphological tracking, single-cell time-lapse imaging, F-actin and YAP staining, wound healing assays, and 3D spheroid invasion assays. We show that sustained volumetric compression shifts MCF-7 cells into a compact, jammed-like, low-motility state characterized by reduced morphodynamic remodeling, suppressed collective migration, and limited spheroid invasion. In contrast, post-compression recovery induces a distinct mechanobiological state marked by increased cell area and perimeter, altered single-cell trajectories, heterogeneous F-actin remodeling, enhanced YAP nuclear localization in enlarged recovered cells, accelerated wound closure, and increased spheroid invasion and cell dissemination. These findings suggest that prior volumetric compression can prime breast cancer cells for enhanced migration and invasion after stress release, supporting post-compression recovery as a form of mechanical memory that may contribute to tumor dissemination.

Cells continuously integrate mechanical cues from the surrounding extracellular matrix to control fundamental biological processes such as proliferation and migration. Yet, studying the mechanical activity of cells in 3D over time is challenging, low-throughput, and requires specialized equipment. Here, we introduce DNA-based force-history probes, which convert transient pico-Newton forces into cumulative fluorescent signals within a mechanically adjustable DNA-crosslinked cell culture matrix. The probes provide control over signal lifetimes, allowing stress patterns to be recorded over minutes to days with tunable temporal memory. We use this system to visualize the mechanical activity of breast cancer spheroids and map the trajectories of migrating cancer cells. By combining different fluorophores and DNA-encoded signal lifetimes, we produce dual-color probes that associate temporal information to mechanical events. Overall, force-history probes provide an endpoint-readable record of mechanical cell-matrix activity, offering new opportunities for studying cell function in physiology and disease.

Cell shape changes during migration, division, or differentiation require the dynamic regulation of actin network mechanics. Actin crosslinkers are central to this regulation, controlling network connectivity and the transmission of contractile forces. A large diversity of crosslinkers exists, differing in length, domain structure, and binding kinetics, yet why cells deploy specific crosslinkers in a physiological context remains unclear. To bridge this gap, we developed a light-controlled actin crosslinker toolbox spanning three physiologically relevant lengths: ~9 nm (fascin-like), ~16 nm (fimbrin-like), and ~56 nm (alpha-actinin-like). Using magnetic pincher experiments and in silico modelling, we show that short and mid-length crosslinkers dynamically tune cortical stiffness and thickness in a density- and myosin-dependent manner, with short crosslinkers also driving pronounced stress-stiffening as the cortex is deformed. Strikingly, minute-scale activation reveals a length-dependent switch in cell behaviour: short crosslinkers cause cortical delamination, while long ones instead drive cell polarization and symmetry breaking. This switch can be overridden by perturbing actin turnover, which unlocks polarization in mid-length crosslinkers that otherwise delaminate. Crosslinker-induced polarization is not merely a local cortical event: it directs subsequent cell spreading, coupling a nanometre-scale molecular choice to a cell-scale decision about movement. Together, these findings establish a versatile optogenetic platform for manipulating actin crosslinking, and show that the cortex can encode a behavioural switch directly in its material architecture.

Cell extrusion is a fundamental process in tissue homeostasis, morphogenesis, and cancer progression, facilitating the removal of cells either alive or through apoptosis. While biochemical signaling pathways are known to regulate extrusion, recent advances have underscored the importance of mechanical forces in this process. Here, using optogenetic control of RhoA activation in epithelial monolayers combined with Bayesian Inversion Stress Microscopy (BISM) and three-dimensional cell-based modeling, we uncover a counterintuitive mechanism whereby elevated tension, instead of stabilizing the monolayer, actively drives extrusion in highly contractile cells. We show that local RhoA activation enhances myosin II-dependent contractility and F-actin reorganization, which promotes cell stiffening, resulting in localized tension buildup. The ensuing tensile stress amplifies vertical mechanical fluctuations, which in turn trigger cell extrusion. Remarkably, these tension-induced extrusions occur both apically and basally. Furthermore, our findings show that RhoA-mediated contractility is not merely an effector of extrusion but also an active promoter of basal extrusion, independently of caspase activation. Our study demonstrates that tensile stress can directly initiate extrusion events and bias their outcome toward apical or basal fates. By identifying tension as a driver rather than a suppressor of extrusion, this work revises current models of epithelial homeostasis and highlights mechanical control as a targetable axis in disease and regeneration.

Pancreatic ductal adenocarcinoma (PDAC) develops within a desmoplastic and stiffened microenvironment that critically shapes tumor progression and therapeutic resistance, yet these features are not reproduced by conventional rigid plastic culture systems. Here, we leverage a tuneable bioengineered platform that mimics stromal stiffening to investigate how mechanical cues regulate PDAC cell behaviour and to identify pharmacological strategies that counteract stiffness-driven malignancy. We show that increasing matrix stiffness promotes key hallmarks of PDAC aggressiveness, including enhanced cell spreading, focal adhesions maturation, and cytoskeletal tension. Notably, we identify the glucocorticoid budesonide as a selective suppressor of stiffness-induced malignant phenotypes. Transcriptomic profiling reveals that budesonide counteracts stiffness-associated gene programs, prominently affecting pathways governing cytoskeletal dynamics, nuclear envelope organization, and YAP nucleocytoplasmic transport. Consistently, budesonide reduced force transmission to the nucleus, restoring nuclear wrinkling and constraining nuclear size and shape. These effects are mediated through both glucocorticoid receptor-dependent and -independent mechanisms, revealing a previously unrecognized mode of action. Together, our findings establish mechanical context as a critical determinant of PDAC vulnerability and identify budesonide as a candidate for therapeutic repurposing to target stiffness-driven cancer progression.

Surface curvature is a fundamental geometric cue in tissue morphogenesis, yet its role in guiding collective cell organization has remained elusive. Here, we show that curvature acts as a geometric control parameter that shapes supracellular alignment and chirality while modulating myogenic differentiation in myoblast tissues. Cells cultured on curved substrates self-organize into robust helical assemblies whose handedness is set, and can be reversed, by the sign of curvature: convex fibers produce right-handed helices, whereas concave channels invert the chirality. We identify a previously hidden clockwise bias in single-cell motion associated with the helical actin cytoskeleton. A minimal continuum theory coupling an effective chiral drive to curvature quantitatively captures the emergence and reversal of tissue-scale chiral alignment. On substrates with spatially varying curvature, local curvature gradients organize patterned multicellular architectures while preserving a global handedness. Curvature is also associated with myogenic state, with higher curvature linked to reduced or delayed differentiation. Together, these findings reveal how complex geometries shape the alignment, symmetry, and cellular state of living tissues.

Cell division within mechanically confining extracellular matrices (ECMs) is a key regulator of tissue morphogenesis and cancer progression. Although the intracellular force-generation mechanisms that drive volumetric growth and mitotic elongation are well characterized, how ECMs resist these forces remains poorly understood. Unlike linearly elastic materials, fibrillar ECMs exhibit nonlinear and viscoelastic behaviors that fundamentally alter how they oppose cell-generated stresses. Using a fiber-level computational model, we dissected the origins of ECM-mediated mechanical confinement during mitosis. We identified three distinct modes of resistance: compressive resistance at the cell poles, shear resistance from a pericellular shell, and tensile resistance at the cell equator. The relative contributions of these modes depended on fiber architecture and connectivity; however, shear resistance from the pericellular shell--pre-tensed by volumetric growth during G1--consistently dominated as the primary mechanical barrier to mitotic elongation. These findings suggest that the pericellular shell functions as a natural mechanical checkpoint on cell division within collagen-rich microenvironments. Notably, a finite element continuum model, despite being the most widely used framework for tissue mechanics, failed to reproduce these behaviors, underscoring the necessity of fiber-resolution approaches. We propose that overcoming this mechanical checkpoint is a critical step in cancer progression, enabling cells to divide within the dense stromal matrices characteristic of metastatic tumors.

Tissue mechanics influence diverse biological processes, yet directly linking stiffness measurements to spatially resolved molecular states in intact tissues remains challenging. Here we developed a paired-surface spatial mechanomics approach to map Young's modulus by nanoindentation on a fresh tissue surface and co-register the stiffness grid with 10x Genomics Visium HD spatial transcriptome bins from the immediately adjacent, parallel surface. Applied to the mouse ovary, which has spatially distinct compartments and undergoes extracellular matrix remodeling with cycle and age, the workflow generated >2,900 matched measurements across 21 regions of interest. Nanoindentation at 50-m grid spacing enabled millimeter-scale stiffness maps while balancing acquisition time in fresh tissues, with ~92 4-m transcriptome bins assigned to each stiffness value. Global and compartment-specific analyses associated stiffer regions with lower elastic fiber programs and higher inflammatory signaling, with age-dependent differences. This correlative strategy integrates experimentally measured mechanics with spatial omics in fresh tissues.

Extracellular matrix (ECM) remodeling and force generation are fundamental drivers of tissue morphogenesis and repair, yet scalable methods to quantitatively interrogate these dynamic mechanical processes remain limited. Here, we present a high-throughput screening platform that integrates engineered three-dimensional (3D) microtissues within a standardized 96-well format. We introduce a robust mold-casting fabrication process and a layer-by-layer surface modification strategy, that ensures long-term tissue stability and prevents detachment (95% tissue formation success; stable in culture for more than 10 days). This system enables simultaneous, longitudinal quantification of tissue closure, tissue contractility, and tissue compaction from a phase-contrast imaging modality. The computational data analysis tools that accompany this framework ensure reproducibility through deterministic computation and accelerate data extraction 80-fold relative to manual annotation. Using pharmacological compounds, we show that tissue closure dynamics, force generation, and compaction represent independent variables of ECM-driven tissue remodeling, challenging assumptions embedded in commonly used contraction-based assays. Furthermore, benchmarking against reported clinical drug responses demonstrates that the 3D platform better aligns with clinical outcomes (Kendall{tau} -b = 0.72, p=0.045, n =8/10) than a conventional two-dimensional scratch wound assay (Kendall{tau} -b = 0.52, p=0.25, n =4/10). Together, this work establishes a scalable assay for functional screening and quantitative assessment of tissue remodeling dynamics in three-dimensional systems.

Microtubules (MTs) and their motor proteins collectively harness chemical energy to generate mechanical work, driving some of the most coordinated self-organized dynamics in living cells. The unique properties of these molecules also make them versatile building blocks of cytoskeletal active matter and biomimetic nanomachines that recapitulate cellular motility, emergent pattern formation, and motor-driven transport. However, these canonical systems use MTs of fixed length and do not incorporate the natural ability of MTs to grow and regenerate. Here, we go beyond these limits by using dynamic self-amplifying branched MT networks. Driven by kinesin-1 and cytoplasmic dynein activity, surface-gliding branched MT bundles undergo swarming that yields large-scale collective MT architectures with several sought-after features. They are polar and orientationally aligned, dense, span millimeter scales, and persist over hours. We then show that these features enable molecular transport along the swarm at unprecedented capacities, with up to six million motor complexes walking in parallel across millimeter-scale distances over hours. Our results introduce a new regime in cytoskeletal active matter in which the interplay between motor-driven activity and filament generation via branching leads to emergent polar order in proliferating swarms. Such emergent polarity makes these swarms suitable for engineering scalable transport nanotechnologies and programmable soft materials.

Mucus transport is essential for lung health, as ciliated cells constantly propel mucus outward to clear bacteria, viruses, and particles. This defense relies on a material that must be elastic enough to maintain ciliary traction, but capable of reorganizing under sustained directional loading. How the mucin network reconciles these demands, and whether it retains a memory of the stresses it experiences, remains poorly understood. Here we show that lung mucus develops a persistent, direction-dependent mechanical asymmetry under physiologically relevant stress--a mechanical memory encoded in the slow scaffold of the network. Using bulk rheology, we find that directional pre-stress produces a residual anisotropy that grows with stress magnitude and persists long after the load is removed. A transient network model attributes this memory to a separation of timescales between transient bonds and a long-lived crosslink scaffold, and particle-tracking microrheology confirms that the memory reorganizes the network geometry at the scale of biological particles, biasing tracer diffusion along the axis of applied stress. The stresses required to induce memory are within the range generated by ciliary beating and remain below the mucus yield threshold, suggesting that mucociliary clearance operates in a regime where directional alignment accumulates without compromising the coherence of the mucus layer. This proximity to yield may not be coincidental, it allows mucus to accumulate mechanical memory under physiological forcing while remaining poised to flow during clearance events such as coughing.

Septins are cytoskeletal proteins that contribute to essential cellular processes such as cell migration and cell division through interactions with the cell membrane and the cytoskeleton. High expression of septins is correlated with breast cancer malignancy and promotes cell invasion, but the molecular complexity of septins interactions has made it challenging to dissect the underlying molecular mechanisms. Here, we used a conditional knockout approach to deplete SEPT7 in the metastatic triple-negative breast cancer cell line Hs578T and examined the role of septin in 3D-matrix invasion of breast cancer cells. We show by spheroid assays that SEPT7 deletion strongly impairs breast cancer cell invasion into collagen gels. Additional single-cell migration studies using 3D collagen gels and microfluidic pillar devices that mimic the pores present in collagen matrices showed that SEPT7 expression regulates confined cell migration through control of cell shape and actin-based protrusions.

Early animal embryos undergo rapid cleavages that partition cytoplasmic volumes orders of magnitude larger than those of somatic cells1. Each division must reposition nuclei and centrosomes and distribute organelles within minutes, over distances up to hundreds of micrometers2. Cleavage furrows are positioned by microtubule asters3,4, but the mechanical mechanism for long-range transport of cytoplasmic components before cytokinesis was unknown. Here, we show that cytoplasm behaves as a locally switchable active material. Fluidization at the midplane allows bulk actomyosin to convert a local mechanical asymmetry into directed global flows of all components as a composite material. Using an actin-intact cycling Xenopus egg extract together with Xenopus and medaka embryos, we find that F-actin mechanically couples microtubule asters, organelles, nuclei and centrosomes into a gel-like composite that propagates forces over hundreds of micrometers. After mitosis, Aurora B kinase patterns a locally fluidized midplane, from which myosin-II contractility drives coherent cytoplasmic flows. A fluid dynamics model accounts for the observed flow geometry and rates. Our results reveal how local control of the material state of cytoplasm converts mitotic symmetry breaking into long-range intracellular transport and identify bulk actomyosin as the active stress generator that partitions embryonic cytoplasm as a composite gel.

Beyond the mechanical capacity of canonical actomyosin-driven amoeboid motility in permissive extracellular environments, the nucleus becomes the principal barrier to T cell migration in confining tissues. We establish the dynein-microtubule (MT) force-transmission axis as an essential mechanism for nuclear translocation during confined T cell migration and transmigration. We argue that dynein acts both as a motor and as an F-actin-anchored force-transmission element (fulcrum), sliding MTs and the MT-coupled nucleus along the cell cortex to drive nucleokinesis and productive cell displacement. Dynein is the primary driver of nucleokinesis: its inhibition arrests nucleus movement independently of myosin II activity, while F-actin dynamics remain spatiotemporally decoupled from nuclear oscillations. During transmigration, dynein and actomyosin act cooperatively and non-redundantly, and only combined inhibition abolishes nuclear passage. Computational modeling demonstrates that dynein-mediated pulling, together with volume exclusion imposed by the nucleus, is sufficient to generate self-organized nuclear oscillations. Dynein inhibition in zebrafish Langerhans cells impairs protrusion dynamics in situ, identifying the dynein-MT axis as an evolutionarily conserved mechanobiological program. Collectively, these findings identify the dynein-MT mechanical unit as a potential target for engineering T cells with enhanced solid-tumor infiltration.

Vascular chips have advanced endothelial mechanobiology by enabling controlled responses to hemodynamic cues, yet disease-relevant wall shear stress (WSS) modeling remains limited. Simplified one-dimensional flow shear systems, designed mainly for physiological mechanobiology, miss the topological organization of pathological flow, whereas patient-specific vascular models capture complex hemodynamics but sacrifice generality and imaging compatibility. Here we develop a programmable vascular chip that converts disease-associated WSS topology into a physiologically parameterized experimental input. The device reconstructs a representative pathological shear-topology field on endothelial layer, supports stationary and physiologically paced oscillatory flow modes, and integrates matched unidirectional-shear references within the same chip. Using this system, we show that oscillatory WSS topology destabilizes endothelial monolayers, drives asymmetric collective emergent behaviors, impairs actin-nuclear mechanotransduction, accompanied by nuclear softening and enhanced perinuclear nanoparticle uptake. Integrated live-cell imaging, fluorescence analysis, Brillouin microscopy, and transport assays enable multimodal phenotyping across collective, subcellular mechanical and functional scales. By making disease-relevant WSS topology experimentally controllable, this vascular-chip framework bridges computational hemodynamics and experimental mechanomedicine, supporting standardized vascular disease modeling and functional screening.

Piconewton forces borne by individual proteins within complex assemblies underlie cell adhesion, migration, and tissue morphogenesis, yet remain difficult to image in living systems. Here, we introduce WHaloForce, a chemigenetic HaloTag-based tension sensor that converts force-dependent relief of tryptophan-mediated dye quenching into a fluorescence lifetime change. Optical tweezers revealed a switch-like unquenching transition near 5 pN, and the sensor responded reversibly to force changes in cells. WHaloForce enabled quantitative tension imaging of diverse force-bearing proteins (vinculin, E-cadherin, -catenin, and laminin) in mammalian cells, mouse tissue, and C. elegans. Bright synthetic dyes made tension measurements possible at endogenous expression levels. In C. elegans, vinculin and laminin showed opposite tension patterns between tissues, revealing distinct force-transmission routes through adhesions and the extracellular matrix. During ovulation, laminin tension accumulated over repeated stretch-relaxation cycles, scaling with cumulative loading history. WHaloForce thus offers a modular platform for imaging spatiotemporal tension patterns in living systems.

Collective cell behaviors emerge from mechanical interactions with the extracellular matrix (ECM), yet the physical principles governing long-range cell-cell communication remain elusive. Existing models assume that neighboring cells couple by strain-stiffening the ECM between them, amplifying contractility through positive feedback. Here we show that pairwise interactions are insufficient. Instead, stable mechanical communication requires opposing mechanical anchors that allow a cell to strain-stiffen the matrix on both sides. Combining ECM strain mapping, direct cell-force measurements, and live-cell imaging, we find that isolated cell pairs generate only weak, stochastic matrix strains without persistent interactions. In contrast, cells supported by opposing neighbors, or rigid beads acting as mechanical anchors, generate large bilateral matrix strains, increase effective matrix stiffness, align collagen fibers, and form stable multicellular networks. To explain these observations, we develop a predictive mechanosensitive theory introducing effective matrix stiffness and a critical contractile force governing the transition from stochastic to persistent interaction. The theory predicts, and experiments confirm, that opposing mechanical anchorage enables cells to exceed the critical force, trigger collective matrix remodeling, and compact the matrix through collagen-fiber buckling. Together, these findings provide a unifying framework for understanding collective force generation in development, wound repair, fibrosis, and tumor progression.

DNA origami offers a route to engineering architected metamaterials with sub-nanometer precision by linking nanoscale building blocks into micron-scale assemblies. However, automated design spaces are currently limited to fixed DNA origami motifs, restricting the ability to readily tune a mass-efficient nanostructure stiffness. Here, we introduce a fully automated design paradigm that converts prescribed vertices, edges, and cross-section specifications directly into manufacturable, nucleotide-level models. To demonstrate robustness, three structurally distinct nanostructures are realized under a shared experimental protocol. Further, this paradigm enables the deterministic assembly of hollowframe building blocks into micron-scale architectures, including traditional and auxetic reentrant honeycomb lattices. More broadly, this work establishes a novel design abstraction for stiffness-tunable DNA origami nanostructures that can be rapidly translated into architected metamaterials with distinct functional responses.